Org. nr: - Stillingsident: Logg inn for å se kontaktinformasjon69 Presentasjon av stillingen:
The Department of Renewable Energy Systems at IFE has a vacant PhD position within PV systems analysis. The PV systems group at IFE performs research on performance of PV systems, including degradation, monitoring and operations and maintenance of PV plants. We also work with development of PV modules, accelerated aging tests, and laboratory characterization. Finally, we have strong activity on data analysis, modelling and forecasting of PV systems and renewable energy systems. The work is usually performed in collaboration with leading Norwegian and European companies.
The PhD position will focus on degradation of PV systems in different climates and include both data analysis and field studies. Commercial PV systems in Norway and abroad, in addition to IFEs own systems will be used for these analyses. Field studies will include IV measurements, visual inspection and IR imaging. A solar simulator (flasher) and electroluminescence will be used for characterization of modules in the lab. The candidate will be partly funded by the FME SuSolTech.
We are looking for a candidate with relevant background within physics, electrical engineering or similar. The candidate should also have competence within programming, where especially Python and machine learning are highly relevant. Further, we seek a candidate that can work independently, but also participate actively in the group, has strong skills in English, and a positive attitude. The work in the group is often carried out in collaboration with industry and other research groups, hence good communication skills is important, and some travelling must be anticipated. The candidate will work in an active and growing research field at IFE, in a young and social group.
Job description
We are looking for a candidate with relevant background within physics, electrical engineering or similar. The candidate should also have competence within programming, where especially Python and machine learning are highly relevant. Further, we seek a candidate that can work independently, but also participate actively in the group, has strong skills in English, and a positive attitude. The work in the group is often carried out in collaboration with industry and other research groups, hence good communication skills is important, and some travelling must be anticipated. The candidate will work in an active and growing research field at IFE, in a young and social group.
Qualifications
- MSc in physics, computational physics or power electronics
- Experience with PV systems
- Programming skills (python, matlab, PVsyst)
- Interest in both experimental and theoretical work
- Interest in solar energy
- Excellent oral and written english
- Fluency in oral and written Norwegian is preferable, but no prerequisite
Personal qualities
- Systematic and quality conscious
- Self-driven with initiative
- Excellent collaborative and communicative skills
- Analytical
We offer
- Exciting and challenging work in an international and growing environment
- Training in a relevant, research-intensive environment with focus on innovation
- Full access to resources required for successful PhD studies
- Social benefits including pension, life insurance and accident Insurance
- A workplace that will promote the employees health, environment and safety
- We use background checks as part of our recruitment process
Contacts
Arne Lind, Avdelingsleder, Logg inn for å se kontaktinformasjon
Josefine Selj, Faggruppeleder, Logg inn for å se kontaktinformasjon, Logg inn for å se kontaktinformasjon
Location
Instituttveien 18
2007 Kjeller
Apply for position:
Key information:
Employer:Institutt for energiteknikk (IFE)
Reference number:Logg inn for å se kontaktinformasjon69
Percentage of full-time: 100%
Start date: 01/07/2019
End date: 30/06/2022
Application deadline: 24/03/2019
Adresse: Skedsmo